Rbc
Insurance
SeniorMachineLearningEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Machine Learning Engineer at Rbc. Skills: Machine Learning, AI, model development, model deployment, ML pipelines, CI/CD for ML, model monitoring, Python, Cloud platforms (AWS, GCP, Azure), MLOps tools, NLP, LLM performance evaluation, Data Pipelines, Airflow, Spark, Pandas, AWS SageMaker, Docker, Kubernetes, Software Development Principles, DevOps. Develop and Optimize Machine Learning Models. Ensure Scalable Model Deployment”
What You'll Achieve.
deliver solutions to Insurance business and clients; drive business growth and improvement; delivering high-quality solutions that meet business needs; delivering best client experience; meet Service and Operational Level Agreements; enhance the well-being of our clients and communities
Industry & Context.
resolve business systems issues; Critical thinking
Ready to provide after hour support on need basis
What They're Looking For.
Must Have
programming skills in languages such as Python, java, or C++, Experience with cloud platforms (AWS, GCP, and Azure), MLOps tools, 2 + years of hands-on experience in model development and optimization, knowledge of advance ML techniques, Hands-on experience with frameworks like Hugging Face Transformers, LangChain, or OpenAI APIs, understand of NLP tasks such as entity recognition, summarization, text classification, Skills in evaluating LLM performance using metrics, proficiency in creating, maintaining, and troubleshooting DAGs for scheduling and orchestrating ML workflows, Experience in integrating Airflow with cloud data storage and ETL pipelines, Experience with data pipelines using tools like Apache Spark or Pandas for handling structured and unstructured data, understand the tools like AWS SageMaker for building, training, and deploying ML models, Hands-on experience with AWS cloud services, such as S3, Lambda, for managing ML workflows, understanding of software development principles, including design patterns, testing, and deployment, Experience with DevOps practices such as CI/CD, experience with containerization using Docker and Kubernetes, understanding of application implementation requirements, including risk, privacy, and compliance, Excellent communication skills
Nice to Have
Past experience in data and AI/ML space, Adaptability, Critical thinking, growing mindset, Management and collaboration skills, Verbal and written communication skills, Team contributor, care about team members, Graduate in science, mathematics, statistics or engineering
What You'll Do.
Develop and Optimize Machine Learning Models
Ensure Scalable Model Deployment
Collaborate with Cross-functional Teams
Streamline Pipeline Releases
Maintain and Monitor Model Performance
Document and Share Knowledge
Maintain and Monitor production applications
Enhance Operational Efficiency
Emerging Technology research and application
How You'll Work.
Team & Collaboration
collaborate with cross-functional teams; work closely with data scientists, product managers and software engineers; collaborate with team members under Agile Squad including product owners, Data Scientists, Designers, Quality Engineers and other ML Engineers; Partners across IT and with assigned business line(s); Acts as primary IT liaison with multiple interfacing applications, third party vendors, IT Executives, and/or Project Managers; working together; Collaboration
Communication Scope
Excellent communication skills; Verbal and written communication skills
Process & Methodology
Project Managers
Full Job Description
**_Job Description_** **What is the opportunity?** This is an opportunity to work at RBC Insurance Active Data Platform team with a group of technology professionals dedicated to deliver solutions to Insurance business and clients. We are **_all in_** with Agile development, DevOps, Open Source, Software as a Service (SaaS) and modern tools and processes. You will have an opportunity to make a real difference by working on some impactful and meaningful projects. We are looking for an enthusiastic and skilled Senior Machine Learning Engineer to join our AI initiatives Squad, work on the development and deployment of cutting-edge machine learning models, drive innovation, and collaborate with cross-functional teams to drive business growth and improvement. The candidate will have a strong background in machine learning models and algorithms, software development and leadership, with a proven track record of delivering high-quality solutions that meet business needs. The person will collaborate closely with team members under Agile Squad including product owners, Data Scientists, Designers, Quality Engineers and other ML Engineers. The candidate posts deep understanding of data management principles, modern data stack, cloud computing and ability to apply them in practical, business-focused context. Partners across IT and with assigned business line(s) to assess, research, and analyze business, technical and system needs in order to resolve business systems issues. Recommends technology solutions that meet sponsor / stakeholder needs. Acts as primary IT liaison with multiple interfacing applications, third party vendors, IT Executives, and/or Project Managers. Our applications are used by RBC staff and clients making your contributions highly impactful and visible, directly contributing to the success of RBC. We deliver digitally enabled applications that are both internal and internet facing. We build Cloud Data Lakehouse, stable web, and back-end applications which a
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